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User testing login functionality with Apptest.ai through a prompt-based test interface that reads ‘Check login flow’ on a laptop and mobile screen.
App Testing Insights

We’ve Built Agentic AI with True Commitment – And Now, That Authenticity Is Starting to Show

May 19, 2025 Apptest.ai Team No comments yet

Apptest.ai’s internal reflections after MWC25 and F6S San Jose Top 15 recognition 🌱 Beyond Rumors – Now We Have Proof of Real Agentic AI Testing From unveiling ixi Test GPT with LG U+ at MWC25 to being named one of F6S’s Top 15 AI companies in San Jose, Apptest.ai has taken a major step in advancing AI test automation. But more […]

Device Log view in Apptest.ai showing crash data and root cause trace during automated mobile app testing.
App Testing Insights

Why the Same 5 Mobile App Bugs Still Exist in 2025—And How AI Solves Them

May 14, 2025 Apptest.ai Team No comments yet

The mobile app ecosystem continues to expand in 2025, with more than 5,500 new apps launching daily. Yet users still leave at the first sign of trouble, resulting in a staggering 68% churn rate. Even with high ‘Crash-Free Session Rates,’ minor but persistent bugs continue to damage user experience. At Apptest.ai, we have tracked these […]

Two people holding smartphones facing each other, as if shaking hands, in an outdoor setting with blurred greenery in the background.
App Testing Insights

Simplifying Device-to-Device (D2D) Testing with Apptest.ai

April 17, 2025 Apptest.ai Team No comments yet

Apptest.ai simplifies automated testing for device-to-device interaction flows—no scripting, no manual setup, and no emulators required.

Autonomous testing in progress across multiple mobile devices
App Testing Insights

Circumventing the Limits of Autonomous Exploratory Testing: Maximizing Test Coverage with Test Path Adjustment

March 28, 2025 Apptest.ai Team No comments yet

🔍 Reveal more hidden defects by Autonomous Test Path Adjustment Apptest.ai’s Autonomous Exploratory Testing allows AI to actively explore various pages within an app, detecting unexpected issues such as force closures (FC) and application not responding (ANR)—all without the need for predefined test cases or manual automation setups. However, this approach has some inherent limitations.

A smartphone screen with a dark background displaying an AI-powered app test automation process. A graphical interface analyzes UI elements, with a progress bar indicating the test status. The 'Apptest.ai' logo is visible at the top of the screen.
App Testing Insights

AI Testbot: Transform Your QA with Zero-Touch Automation

February 7, 2025 Apptest.ai Team No comments yet

The paradigm of mobile app test automation is rapidly evolving. AI Testbot combines precise user behavior simulation with advanced AI analytics to effectively validate application stability. This innovative approach is fundamentally transforming QA processes across the industry. 🔍 Core Technologies in Intelligent Test Automation 👥 User-Based Test Execution The cornerstone of test automation lies in […]

A professional QA engineer working at a desk surrounded by multiple devices, including tablets and smartphones, running automated app testing software. The scene is illuminated by city lights in the background, emphasizing a high-tech and dynamic workspace.
App Testing Insights

The Future of AI App Testing: 2,000 Bugs Uncovered

January 15, 2025 Apptest.ai Team No comments yet

“Overtime QA? With AI, those days are over.” Apptest.ai’s AI-powered automation is transforming app testing for global enterprises, eliminating manual effort and redefining quality assurance. Why QA Teams Love AI App Testing “We automated without developers—AI made it simple.”“It tests apps like real users and finds issues we missed.”“No more endless script maintenance—AI adapts automatically.” […]

App Testing Insights

What is Automation Testing?

February 20, 2023 Apptest.ai Team No comments yet

Automation testing for mobile apps is a way of testing apps in which software tools are used to automate the process of executing test cases. Software developers do this to ensure that the app functions as intended and to identify any bugs or issues that need to be fixed. When it comes to mobile app […]

App Testing Insights

The Five Levels of AI Automation

February 20, 2023 Apptest.ai Team No comments yet

As AI increasingly dominates headlines, it’s important to highlight the differences in AI capabilities. One of the earliest uses of a five-level classification system for AI came from the self-driving car industry. This method of distinguishing capabilities also provides a road map for understanding how much more there is to achieve with AI. In 2014, […]

App Testing Insights

Exploratory Testing Fundamentals: Can AI Revive This Unpopular Approach?

September 10, 2019 Apptest.ai Team No comments yet

Quality assurance (QA) ensures that software performs as intended, typically using two main approaches: top-down (functional testing) and bottom-up (exploratory testing). Functional testing focuses on predefined scenarios, while exploratory testing—less common—simulates real-world usage patterns without set scripts. The latter faces challenges due to the difficulty in navigating all possible user paths. However, AI has begun transforming exploratory testing. […]

App Testing Insights

Top 5 Types of Mobile App Bugs Found Using AI

September 10, 2019 Apptest.ai Team No comments yet

With over 1,000 new mobile apps launching every day, maintaining app quality is becoming a significant challenge for developers. Mobile app errors not only disrupt user experience but also lead to poor app ratings and potential uninstalls. The current mobile app error rate hovers around 15%, emphasizing the need for advanced and scalable testing solutions. Thanks […]

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Recent posts

  • User testing login functionality with Apptest.ai through a prompt-based test interface that reads ‘Check login flow’ on a laptop and mobile screen.
    We’ve Built Agentic AI with True Commitment – And Now, That Authenticity Is Starting to Show
  • Device Log view in Apptest.ai showing crash data and root cause trace during automated mobile app testing.
    Why the Same 5 Mobile App Bugs Still Exist in 2025—And How AI Solves Them
  • 3D illustration on a yellow background showing a smartphone-like device displaying “TESTING...” with a multicolored pie chart on its screen, surrounded by bar and pie charts, a table labeled A B C, and cubes labeled “AI” and “CA”, with the text “DATA-DRIVEN TESTING” at the bottom.
    Part 1: Scaling Test Coverage with Data-Driven Testing – The Apptest.ai Approach

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